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A Study on Automatic Coregistration and Band Selection of Hyperion Hyperspectral Images for Change Detection  

Kim, Dae-Sung (서울대학교 건설환경공학부)
Kim, Yong-Il (서울대학교 건설환경공학부)
Eo, Yang-Dam (국방과학연구소 기술연구본부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.25, no.5, 2007 , pp. 383-392 More about this Journal
Abstract
This study focuses on co-registration and band selection, which are one of the pre-processing steps to apply the change detection technique using hyperspectral images. We carried out automatic co-registration by using the SIFT algorithm which performance was already established in the computer vision fields, and selected the bands fur change detection by estimating the noise of image through the PIFs reflecting the radiometric consistency. The EM algorithm was also applied to select the band objectively. Hyperion images were used for the proposed techniques, and non-calibrated bands and striping noises contained in Hyperion image were removed. Throughout the results, we could develop the reliable co-registration procedure which coincided with accuracy within 0.2 pixels (RMSE) for change detection, and verified that band selection depending on the visual inspection could be objective by extracting the PIFs.
Keywords
Change detection; Pseudo-invariant feature; Scale-invariant feature transform; Band selection; Expectation-maximization algorithm;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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